Update to our theoretical physics reasoning benchmark, including more models. @OpenAI is still ahead of the competition, especially at research level difficulty. More detailed results are on our website https://t.co/iyl3Nckfrc.
Thrilled to share our new work with @moritzmunchmeyr, Jordan Krywonos & Matt Johnson, accepted to #ML4PhysicalSciences at #NeurIPS! Our GNN reconstructs dark matter & electron density directly from galaxy catalogs. Now on arxiv: https://t.co/nNQssgwK2p
New paper led by my awesome grad student @yur11k. We get precise constraints on primordial non-Gaussianity from halos by machine learning two different fields. We can show optimality of the method under some conditions, and robustness to baryonic feedback. https://t.co/zRAME14j0I